Research of Detection Method of Mine Motor Vehicle Pedestrian Based on Image Processing

被引：0

作者：

Department of Electrical Engineering, Anhui University of Science and Technology, Huainan, 232001 Anhui, China ^{[1
]}

机构：

[1] Department of Electrical Engineering, Anhui University of Science and Technology, Huainan

来源：

Adv. Intell. Sys. Comput. | 2013年 / 1063-1070期

基金：

中国国家自然科学基金;

关键词：

Binary image; Coal mine; Image processing; Pedestrian detection;

D O I：

10.1007/978-3-642-37502-6_124

中图分类号：

学科分类号：

摘要：

This paper use infrared camera to collect the front image of motor cars, and to pretreat image based on genetic algorithm and normalized incomplete Beta function. Using pulse coupled neural network for image two value segmentation; and using improved fuzzy edge detection algorithm based on genetic algorithm for recognition the rail and using heuristic method for fitting the rails; once pedestrian recognition algorithm identified pedestrian, the alarm is immediately triggered. This system can efficiently identify the pedestrian near the track, judge and early warn the position of pedestrian; it is a new technology which can eliminate the potential safety hazard of motor vehicles in the transportational process. © Springer-Verlag Berlin Heidelberg 2013.

引用

页码：1063 / 1070

页数：7

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